Fabrication, FTIR, physical characteristics and photon shielding efficacy of CeO2 /sand reinforced borate glasses: Experimental and simulation studies

Firstly, model of an assistant robot is built by UG software based on analysis to human exoskeleton system. Secondly, for establishing its kinematics model of this assistant robot, physical characteristics, practical geometric parameters and restriction relations are considered, and then this model is exported to ADAMS environment. Thirdly, simulation studies to the assistant robot system are carried out by ADAMS, and its kinematics performances are analyzed. Simulation experiments verify the validity and feasibility of the modeling and kinematics analysis method.

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Physical characteristics of scattered radiation in diagnostic radiology: Monte Carlo simulation studies

Medical Physics ◽

10.1118/1.595771 ◽

1985 ◽

Vol 12 (2) ◽

pp. 152-165 ◽

Cited By ~ 73

Author(s):

Heang-Ping Chan ◽

Kunio Doi

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Scattered Radiation ◽

Physical Characteristics ◽

Diagnostic Radiology ◽

Simulation Studies

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Abstract #804173: Diagnosing Acromegaly in a Patient Without Acromegalic Physical Characteristics

Endocrine Practice ◽

10.1016/s1530-891x(20)39568-9 ◽

2020 ◽

Vol 26 ◽

pp. 208-209

Author(s):

Monika Akula

Keyword(s):

Physical Characteristics

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Benefits from Computerized Adaptive Testing as Seen in Simulation Studies

European Journal of Psychological Assessment ◽

10.1027//1015-5759.15.2.91 ◽

1999 ◽

Vol 15 (2) ◽

pp. 91-98 ◽

Cited By ~ 10

Author(s):

Lutz F. Hornke

Keyword(s):

Measurement Error ◽

Computerized Adaptive Testing ◽

Test Procedure ◽

Adaptive Testing ◽

Parameter Estimates ◽

Simulation Studies ◽

Computerized Adaptive Test ◽

Item Banks ◽

Item Parameters ◽

General Reliability

Summary: Item parameters for several hundreds of items were estimated based on empirical data from several thousands of subjects. The logistic one-parameter (1PL) and two-parameter (2PL) model estimates were evaluated. However, model fit showed that only a subset of items complied sufficiently, so that the remaining ones were assembled in well-fitting item banks. In several simulation studies 5000 simulated responses were generated in accordance with a computerized adaptive test procedure along with person parameters. A general reliability of .80 or a standard error of measurement of .44 was used as a stopping rule to end CAT testing. We also recorded how often each item was used by all simulees. Person-parameter estimates based on CAT correlated higher than .90 with true values simulated. For all 1PL fitting item banks most simulees used more than 20 items but less than 30 items to reach the pre-set level of measurement error. However, testing based on item banks that complied to the 2PL revealed that, on average, only 10 items were sufficient to end testing at the same measurement error level. Both clearly demonstrate the precision and economy of computerized adaptive testing. Empirical evaluations from everyday uses will show whether these trends will hold up in practice. If so, CAT will become possible and reasonable with some 150 well-calibrated 2PL items.

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